Specifications Compared
| Spec | RTX-5090 | RTX-6000-ADA |
|---|---|---|
| TDP | 575W | 300W |
| VRAM | 32 GB | 48 GB |
| CUDA Cores | 21,760 | 18,176 |
| Memory Type | GDDR7 | GDDR6 |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | NVLink |
| Tensor Cores | 680 | 568 |
| FP8 Performance | 838 TFLOPS | |
| FP16 Performance | 419 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 105 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 1.6 TFLOPS | 1.4 TFLOPS |
| INT8 Performance | 838 TOPS | 1,457 TOPS |
| Memory Bandwidth | 1,792 GB/s | 960 GB/s |
Performance Analysis
The RTX 5090's FP16 performance of 419 TFLOPS dwarfs the RTX 6000 Ada's 91.1 TFLOPS: this enables up to 4.6 times faster neural network training and mixed-precision workloads. FP32 throughput at 105 TFLOPS on the RTX 5090 slightly exceeds 91.1 TFLOPS, benefiting simulation and graphics tasks requiring single-precision compute. In real-world terms, these deltas accelerate large-scale model training by reducing epochs from days to hours on equivalent datasets.
FP8 capability reaches 838 TFLOPS on the RTX 5090, ideal for inference on quantized LLMs where the RTX 6000 Ada lags significantly. Memory bandwidth of 1792 GB/s versus 960 GB/s allows the RTX 5090 to handle larger batch sizes without bottlenecks, sustaining higher utilization in data-parallel training. However, the RTX 6000 Ada's 48 GB VRAM surpasses 32 GB, supporting bigger models or longer sequences before swapping to host memory.
Power draw reveals trade-offs: the RTX 5090's 575W TDP demands robust cooling and PSUs, while the RTX 6000 Ada's 300W suits denser deployments. NVLink on the Ada enhances multi-GPU scaling for distributed training, unlike the RTX 5090's PCIe 5.0.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 570GB Storage | Czechia | $0.81/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 489GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 495GB Storage | South Korea | $0.91/GPU/hr | Available |
RTX 6000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 8×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 104 vCPU 640GB RAM 2800GB Storage | Iowa | $0.79/GPU/hr $6.32/hr total (8×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the RTX 5090
The RTX 5090 excels in performance-critical workloads: its 419 TFLOPS FP16 and 838 TFLOPS FP8 deliver rapid LLM inference and training where 32 GB VRAM suffices. Users benefit from lower cloud costs at $0.19 per hour starting, averaging $0.71, ideal for bursty, high-throughput jobs like Stable Diffusion generation or fine-tuning mid-sized models.
High memory bandwidth of 1792 GB/s supports large batches on single GPUs, reducing latency in real-time AI applications.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada suits memory-intensive tasks: 48 GB GDDR6 VRAM accommodates massive LLMs or scientific datasets exceeding 32 GB. NVLink interconnect enables efficient multi-GPU clustering for distributed training, outperforming PCIe 5.0 in scaled environments.
Lower 300W TDP facilitates deployment in power-constrained clouds, with more availability across 33 offers despite higher average $1.31 per hour.
Use Cases
RTX 5090's 419 TFLOPS FP16 and 105 TFLOPS FP32 accelerate training cycles by over 4x compared to 91.1 TFLOPS on RTX 6000 Ada. Higher 1792 GB/s bandwidth sustains large batches.
FP8 performance of 838 TFLOPS on RTX 5090 enables quantized inference at high throughput. Pricing from $0.19 per hour supports cost-effective scaling.
RTX 6000 Ada's 48 GB VRAM handles larger models and datasets without offloading. NVLink aids multi-GPU fine-tuning setups.
RTX 5090's 419 TFLOPS FP16 speeds image generation pipelines. 32 GB GDDR7 meets typical resolution needs efficiently.
RTX 6000 Ada's 48 GB VRAM supports extensive simulations and data analysis. Lower 300W TDP fits prolonged compute runs.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 6000 Ada provides 48 GB GDDR6 VRAM, exceeding the RTX 5090's 32 GB GDDR7. This benefits memory-bound tasks like large LLM loading. RTX 5090 compensates with 1792 GB/s bandwidth.
What is the performance difference in FP16?▾
RTX 5090 achieves 419 TFLOPS in FP16, over 4.6 times the RTX 6000 Ada's 91.1 TFLOPS. This translates to faster AI training. FP32 sees 105 TFLOPS versus 91.1 TFLOPS.
Which is cheaper in the cloud?▾
RTX 5090 starts at $0.19 per hour averaging $0.71 across 18 offers, undercutting RTX 6000 Ada's $0.20 start and $1.31 average over 33 offers. Costs favor high-volume compute.
What are the power requirements?▾
RTX 5090 demands 575W TDP, requiring strong power delivery. RTX 6000 Ada uses 300W, enabling denser cloud instances. Both fit PCIe form factors.
Which supports better multi-GPU?▾
RTX 6000 Ada's NVLink interconnect excels in multi-GPU scaling for training. RTX 5090 relies on PCIe 5.0, sufficient for most single-node tasks.
When was each GPU released?▾
RTX 5090 launched with Blackwell architecture in 2025. RTX 6000 Ada debuted in 2022 on Ada Lovelace. Newer design yields higher FP8 at 838 TFLOPS.
Which is cheaper to rent, the RTX 5090 or the RTX 6000 Ada?▾
Cloud rental prices for both the RTX 5090 and RTX 6000 Ada vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the RTX 5090 have compared to the RTX 6000 Ada?▾
The RTX 5090 has 32 GB of GDDR7 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find RTX 5090 and RTX 6000 Ada GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the RTX 5090 and the RTX 6000 Ada?▾
The RTX 5090 uses the Blackwell architecture (2025) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 5090 delivers 4.6x the FP16 throughput and 1.9x the memory bandwidth of the RTX 6000 Ada.